Reach out

Résumé

Personalized Egg Quality Assessments Redesign

Personalized Egg Quality Assessments Redesign

AI Image Analysis to Predict Outcomes for IVF and Egg Freezing Patients

AI Image Analysis to Predict Outcomes for IVF and Egg Freezing Patients

Project role

Lead Designer

Target users

IVF & egg freezing patients

Methods

UX & UI Design
Visual Design
User Testing

Subject matter

AI, Healthcare
Fertility, Medtech

Timeframe

2024-2025

Background

When I joined Future Fertility, our AI-powered oocyte assessment reports (VIOLET™ & MAGENTA™) were accurate but not consistently clear for every audience that relies on them—patients, REIs/OBGYNs, and embryologists. I led a full redesign to raise clinical clarity, align terminology, and modernize the visual language across a global clinic network. The scope included multi-language rollout (5 languages), and companion updates to the customer portal so clinics could configure, preview, and deliver the new reports seamlessly.

VIOLET - Before Redesign

VIOLET - After Redesign

Approach

I drove an end-to-end, research-led process. We started with discovery interviews to map decision points and pain spots in the current reports, then co-created with clinicians and patients. Over a dozen participants (embryologists, REI physicians, patients) joined iterative rounds—rapid prototyping → usability testing → refinement—through many dozens of design cycles.


We established clear information hierarchy, simplified key metrics, and added guidance that makes the AI more explainable at a glance. In parallel, I set up a practical localization pipeline (AI-assisted drafts + human review) for five languages, and I led design-to-dev handoff and QA, updating the portal UX/UI and component specs to support release. (Methods I lean on often: dual-track agile, service design, and tight designer–developer loops.)

VIOLET, MAGENTA, and ROSE oocyte assessment reports
VIOLET, MAGENTA, and ROSE oocyte assessment reports

Modernized 7+ assessment variants

Patient resources page with development timeline, definitions, FAQ, and an overview of the AI model
Patient resources page with development timeline, definitions, FAQ, and an overview of the AI model

End-to-end redesign of patient resources

Co-creation and pain point mapping from previous report version to inform redesign efforts
Co-creation and pain point mapping from previous report version to inform redesign efforts

Iterative & collaborative feedback cycles

Targeted A/B user testing with different concepts to hone in on the final design
Targeted A/B user testing with different concepts to hone in on the final design

Extensive A/B testing throughout development

AI-powered localization coupled with human reviews to translate into 5 different languages
AI-powered localization coupled with human reviews to translate into 5 different languages

Managed localization for 5+ languages

Updated UX/UI for online portal for embryologists to download and share assessments with clinicians and patients
Updated UX/UI for online portal for embryologists to download and share assessments with clinicians and patients

Updated surrounding UX/UI

Updated UX/UI for online portal for embryologists to download and share assessments with clinicians and patients
Updated UX/UI for online portal for embryologists to download and share assessments with clinicians and patients

Optimized explanations for patient counseling

Impact

Clinics tell us the reports are noticeably easier to read and explain, and patient conversations are smoother. NPS increased after launch, and client feedback has been uniformly positive. Operationally, localization and delivery are faster, and the portal now supports the new designs without extra lift from clinic staff. The redesign also created a shared pattern library for future analytics and reporting work—foundational pieces we’re already reusing.

© 2025 | Justin Kirkey | All Rights Reserved